M.N. Ahmed

2.0k total citations · 1 hit paper
10 papers, 1.5k citations indexed

About

M.N. Ahmed is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Information Systems. According to data from OpenAlex, M.N. Ahmed has authored 10 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 2 papers in Information Systems. Recurrent topics in M.N. Ahmed's work include Medical Image Segmentation Techniques (6 papers), Image Retrieval and Classification Techniques (4 papers) and Spam and Phishing Detection (2 papers). M.N. Ahmed is often cited by papers focused on Medical Image Segmentation Techniques (6 papers), Image Retrieval and Classification Techniques (4 papers) and Spam and Phishing Detection (2 papers). M.N. Ahmed collaborates with scholars based in United States, Pakistan and Japan. M.N. Ahmed's co-authors include Aly A. Farag, Nebras Ahmed Mohamed, S.M. Yamany, Thomas M. Moriarty, Amal Farag, Muhammad Shoaib Siddiqui, Saad Ahmed, Muhammad Imran and Raheela Asif and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Transactions on Medical Imaging and Journal of Computer Science.

In The Last Decade

M.N. Ahmed

10 papers receiving 1.4k citations

Hit Papers

A modified fuzzy c-means algorithm for bias field estimat... 2002 2026 2010 2018 2002 400 800 1.2k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
M.N. Ahmed United States 6 1.2k 517 325 239 180 10 1.5k
Nebras Ahmed Mohamed United States 5 1.1k 1.0× 500 1.0× 316 1.0× 231 1.0× 170 0.9× 9 1.4k
S.M. Yamany United States 12 1.4k 1.2× 523 1.0× 317 1.0× 216 0.9× 191 1.1× 27 1.8k
Xia De-shen China 17 1.4k 1.2× 471 0.9× 275 0.8× 140 0.6× 147 0.8× 84 1.7k
Zhenbing Liu China 24 961 0.8× 413 0.8× 688 2.1× 195 0.8× 300 1.7× 101 1.8k
Malay K. Kundu India 29 1.8k 1.6× 667 1.3× 454 1.4× 184 0.8× 149 0.8× 121 2.4k
Weiling Cai China 12 780 0.7× 400 0.8× 336 1.0× 100 0.4× 52 0.3× 24 1.1k
Keh-Shih Chuang Taiwan 11 700 0.6× 261 0.5× 273 0.8× 140 0.6× 293 1.6× 24 1.3k
Zexuan Ji China 25 1.3k 1.1× 414 0.8× 372 1.1× 215 0.9× 602 3.3× 100 2.1k
Albert C. S. Chung Hong Kong 24 1.8k 1.5× 300 0.6× 288 0.9× 170 0.7× 495 2.8× 113 2.2k
Sanjay Agrawal India 18 736 0.6× 398 0.8× 309 1.0× 153 0.6× 188 1.0× 63 1.2k

Countries citing papers authored by M.N. Ahmed

Since Specialization
Citations

This map shows the geographic impact of M.N. Ahmed's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by M.N. Ahmed with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M.N. Ahmed more than expected).

Fields of papers citing papers by M.N. Ahmed

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M.N. Ahmed. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by M.N. Ahmed. The network helps show where M.N. Ahmed may publish in the future.

Co-authorship network of co-authors of M.N. Ahmed

This figure shows the co-authorship network connecting the top 25 collaborators of M.N. Ahmed. A scholar is included among the top collaborators of M.N. Ahmed based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with M.N. Ahmed. M.N. Ahmed is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Ahmed, Saad, et al.. (2024). Analysis of Mental Health Counseling Conversation Using Natural Language Processing. Journal of Computer Science. 20(3). 303–309. 1 indexed citations
2.
Asif, Raheela, et al.. (2023). An ensemble approach for the identification and classification of crime tweets in the English language. 4(2). 149–159. 1 indexed citations
3.
Asif, Raheela, et al.. (2023). An ensemble approach for the identification and classification of crime tweets in the English language. 4(2). 149–159. 1 indexed citations
4.
Ahmed, M.N., et al.. (2010). Characterization of Electrophotographic Print Artifacts: Banding, Jitter, and Ghosting. IEEE Transactions on Image Processing. 20(5). 1313–1326. 7 indexed citations
5.
Ahmed, M.N., S.M. Yamany, Amal Farag, & Thomas M. Moriarty. (2003). Bias field estimation and adaptive segmentation of MRI data using a modified fuzzy C-means algorithm. 250–255. 46 indexed citations
6.
Ahmed, M.N., S.M. Yamany, Nebras Ahmed Mohamed, Aly A. Farag, & Thomas M. Moriarty. (2002). A modified fuzzy c-means algorithm for bias field estimation and segmentation of MRI data. IEEE Transactions on Medical Imaging. 21(3). 193–199. 1334 indexed citations breakdown →
7.
Mohamed, Nebras Ahmed, M.N. Ahmed, & Aly A. Farag. (2002). Modified fuzzy c-mean in medical image segmentation. 3. 1377–1380. 26 indexed citations
9.
Ahmed, M.N. & Aly A. Farag. (2002). Two-stage neural network for volume segmentation of medical images. Proceedings of International Conference on Neural Networks (ICNN'97). 3. 1373–1378. 3 indexed citations
10.
Mohamed, Nebras Ahmed, M.N. Ahmed, & Aly A. Farag. (1999). Modified fuzzy c-mean in medical image segmentation. 3429–3432 vol.6. 70 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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